Polar Orbiting Satellite Bias Monitoring System for ATMS and AMSU-A
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Polar Orbiting Satellite Bias Monitoring System for ATMS and AMSU-A Li Bi 1,2 , Ninghai Sun 1,3 , Fuzhong Weng 1 , Tsan Mo 1 1 NOAA/NESDIS/Center for Satellite Applications and Research (STAR) 2 Earth Resources Technology, Inc. (ERT) 3 University of Maryland. Introduction

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Polar Orbiting Satellite Bias Monitoring System for ATMS and AMSU-A

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Polar orbiting satellite bias monitoring system for atms and amsu a

Polar Orbiting Satellite Bias Monitoring System for ATMS and AMSU-A

Li Bi 1,2, Ninghai Sun 1,3 , Fuzhong Weng 1 , Tsan Mo1

1 NOAA/NESDIS/Center for Satellite Applications and Research (STAR)

2Earth Resources Technology, Inc. (ERT)

3University of Maryland

Introduction

The Cross-track Infrared and Microwave Sounding Suite (CrIMSS), consisting of the Cross-track Infrared Sounder (CrIS) and the first space-based, Nyquist-sampled cross-track microwave sounder, the Advanced Technology Microwave Sounder (ATMS), will provide atmospheric vertical profile information needed to improve numerical weather and climate modeling. Recently a near real-time bias monitoring system for the ATMS has developed in Center for Satellite Applications and Research (STAR). We simulate the brightness temperatures at 22 channels over oceans corresponding to each ATMS beam position and compare the simulated results with the measurements. The radiative transfer modeling used in this study is the JCSDA Community Radiative Transfer Model (CRTM). CRTM simulation is performed under clear atmospheric conditions over ocean using sea surface temperature (SST), wind vector, and temperature/moisture profiles obtained from the National Centers for Environmental Prediction Global Data Assimilation System (GDAS). Key features for this polar orbiting satellite bias monitoring system include global bias distribution, angular dependence distribution and time series monitoring. Similar bias monitoring system has been developed for the Advanced Microwave Sounder Unit A (AMSU-A). Assessment has been done for intercalibration between ATMS and NOAA-19 AMSU-A.

Long-term Bias Monitoring System

Evaluation Methods

  • ATMS TDR Bias O-B at Each Channel

    • Over ocean (55 ON ~ 55 OS)

    • Clear sky

    • Ascend/Descend separated

  • ATMS TDR Angular Dependent Bias O-B at Each FOV

    • Over ocean (55 ON ~ 55 OS)

    • Clear sky

    • Ascend/Descend separated

GOAL: To provide real-time/long-term bias monitoring for instrument performance evaluation

http://www.star.nesdis.noaa.gov/smcd/spb/icvs

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Future Work

  • Improve cloud identification algorithm

  • Quantify scan asymmetry bias

  • Verify operational TDR to SDR conversion coefficients

  • Assessment of intercalibration between ATMS and NOAA-19 AMSU-A

  • Evaluate ATMS remapped SDR vs. ATMS TDR

  • Continue update current bias monitor package

    • Test high resolution background input for RT simulation

    • Provide more bias monitoring parameters to the package

NI


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